Metabolite profiling in assessing ulcerative colitis activity: A systematic review by Danyang Cui, Xu Han, Jiazhu Jin, Yanhong Wang, Zijia Chen, Yang Gong, Miao Jiang

“…Metabolite profile has been widely and successfully used to characterize patient features in UC, as the development of metabolomics technology. …”
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Forensic medical evaluation of fatal cases of gastrointestinal diseases as a marker of the quality of surgical care for children in Ukraine by А.М. Biliakov, B.V. Mikhailychenko, Ye.O. Rudenko

“…The low mortality rate in the age group of 7–11 years, which indicates a high quality of medical care, requires an interdepartmental analysis to identify the factors that contributed to this. …”
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Elevated CD4⁺/CD8⁺ ratio and D-dimer as diagnostic biomarkers for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis versus infectious mononucleosis in children: a re... by Yun Cheng, Wenjia Tong, Wangqiang Li, Yuanyuan Duan, Jingjing Jin, Biquan Chen

“…These parameters, along with clinical and laboratory features, were compared between the EBV-IM and EBV-HLH groups. …”
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JWST Reveals Spectral Tracers of Recent Surface Modification on Europa by Richard J. Cartwright, Charles A. Hibbitts, Bryan J. Holler, Ujjwal Raut, Tom A. Nordheim, Marc Neveu, Silvia Protopapa, Christopher R. Glein, Erin J. Leonard, Lorenz Roth, Chloe B. Beddingfield, Geronimo L. Villanueva

“…We also find that a previously detected 4.38 μ m ^13 CO _2 feature is present almost exclusively at southern latitudes in Tara and Powys Regiones, likely derived from an internal source of carbon-bearing material.…”
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers by Mustafa Arikan, James Willoughby, Sevim Ongun, Ferenc Sallo, Andrea Montesel, Hend Ahmed, Ahmed Hagag, Marius Book, Henrik Faatz, Maria Vittoria Cicinelli, Amani A. Fawzi, Dominika Podkowinski, Marketa Cilkova, Diana Morais De Almeida, Moussa Zouache, Ganesham Ramsamy, Watjana Lilaonitkul, Adam M. Dubis

“…The proposed dataset covers three subsets of scans (Age-related Macular Degeneration, Diabetic Macular Edema, and healthy) and annotations for two types of tasks (semantic segmentation and object detection). This dataset compiled 5016 pixel-wise manual labels for 1672 OCT scans featuring 5 layer boundaries for three different disease classes to support development of automatic techniques. …”
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Automatic Movement Recognition for Evaluating the Gross Motor Development of Infants by Yin-Zhang Yang, Jia-An Tsai, Ya-Lan Yu, Mary Hsin-Ju Ko, Hung-Yi Chiou, Tun-Wen Pai, Hui-Ju Chen

“…A one-way ANOVA analysis revealed 106 significant features that were retained for constructing prediction models. …”
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Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…We used random forest algorithms to select important features from potential predictors. The features identified using the random forest model were subjected to logistic regression analysis to develop a cognitive impairment prediction model. …”
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Editorial by Teddy Surya Gunawan

“…From deep learning-based anomaly detection and vision transformer analysis for driver fatigue, to latency evaluations of LEO and GEO networks under tropical conditions, these studies reflect the growing importance of digital intelligence and communication resilience. …”
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PHONETIC REHABILITATION FOR REMOVABLE DENTAL PROSTHETICS by M. Nidzelsky, V. Chikor, N. Tsvetkova

“…Modern methods of speech research are based on listening, audiometry and spectral analysis of sound. Consequently, the features of rehabilitation of toothless patients with the help of a complete removable denture are widely covered in the literature. …”
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Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance by Asim Moin Saad, Md. Raihanul Haque Rahi, Md. Manirul Islam, Gulam Rabbani

“…This study introduces Diet Engine, an innovative smartphone application powered by machine learning that enhances health outcomes by providing immediate food classification and personalized dietary suggestions. The system features modules using deep learning (DL) and Convolutional Neural Networks (CNNs) to detect food, as well as textual analysis and natural language processing (NLP) to estimate components such as nutritional content. …”
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GENOTYPE-PHENOTYPE CORRELATION IN CASES WITH LISSENCEPHALY SPECTRUM by Ayça Dilruba Aslanger, Zehra Oya Uyguner, Birsen Karaman, Seher Başaran, Hülya Kayserili Karabey

“…In Case 6 with lissencephaly accompanied by cerebellar hypoplasia, a homozygous c.204C>G (p.Tyr68Ter) novel variant was detected in the RELN gene. Conclusion: When the genotype-phenotype correlation approach was chosen for lissencephaly, clinical and radiological features helped in pinpointing the genetic mutations in cases of lissencephaly. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
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Pulmonary Nuclear protein in Testis (NUT) carcinoma: clinical, molecular characteristics, and treatment strategies by Jingjing Qu, Zhen Chen, Yanping Zhu, JinYan Huang, Qian Shen

“…Method We conducted a retrospective analysis of five patients diagnosed with pulmonary NUT carcinoma between 2020 and 2023. …”
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Prevalence of airway hyperresponsiveness and its seasonal variation in children with asthma by Shu-Jung Huang, Li-Lun Lin, Li-Chen Chen, Liang-Shiou Ou, Tsung-Chieh Yao, Kuo-Chien Tsao, Kuo-Wei Yeh, Jing-Long Huang

“…Background: Airway hyperresponsiveness (AHR) is a key feature of asthma and can be detected using various bronchoprovocation tests. …”
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The Application and Validity of a New Composite Radiographic Index for Patients with Osteonecrosis of the Jaws by Zafeiroula Yfanti, Sotirios Tetradis, Nikolaos G. Nikitakis, Konstantina Eleni Alexiou, Emmanouil Vardas, Christos Angelopoulos, Kostas Tsiklakis

“…For the statistical analysis, Fisher’s exact test and Spearman’s correlation coefficient were used. …”
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Free-breathing, non-contrast, three-dimensional whole-heart coronary magnetic resonance imaging for the identification of culprit and vulnerable atherosclerotic plaque by Reza Hajhosseiny, Adam Hartley, Graham Cole, Camilla Munoz, Amarjit Sethi, Rasha Al-Lamee, Saud Khawaja, Sameer Zaman, James Howard, Deepa Gopalan, Ben Ariff, Raffi Kaprielian, Radhouene Neji, Karl P. Kunze, Amit Kaura, Claudia Prieto, Ramzi Khamis, René M. Botnar

“…Background: Detection of vulnerable coronary plaque can predict future myocardial infarctions. …”
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Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

“…Annovar, Intervar, Variant Effect Predictor (VEP), and OncoKB software tools were used to functionally annotate and interpret somatic variants detected. The OncoKB precision oncology knowledge base was used to provide information on the effects of the identified variants. …”
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A Histopathological Study of Mean Eosinophil Count in Adult Gastrointestinal Pathologies: A Cross-sectional Study by Ashwini Annappa Moger, Padma Priya Kasukurti, Sulata M Kamath, SR Mangala Gowri, Karthik Yadavalli

“…While eosinophils are usually detected in varying numbers in most mucosal biopsies of the GIT, present findings significantly contribute to defining the limits of eosinophil association in different conditions that can feature significant eosinophilia. …”
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AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Combining Mamba and transformer architectures, this hybrid design was well-suited for the timely analysis of complex anatomical structures segmentation in abdominal ultrasonography, where accuracy and efficiency are critical in clinical practice.ConclusionThe proposed mamba-transformer hybrid recognition framework simultaneously detects and segments multiple abdominal organs and lesions in ultrasound images, achieving superior segmentation accuracy, visualization effect, and inference efficiency, thereby facilitating improved medical image interpretation and near real-time diagnostic sonography that meets clinical needs.…”
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Does the level of psychological stress affect the death risk in the Russian population. Results of ESSE-RF and ESSE-RF2 by L. I. Gomanova, Yu. A. Balanova, S. A. Shalnova, O. E. Ivlev, V. A. Kutsenko, S. E. Evstifeeva, A. E. Imaeva, A. V. Kapustina, N. S. Karamnova, M. B. Kotova, S. A. Maksimov, G. A. Muromtseva, O. B. Shvabskaya, E. B. Yarovaya, A. V. Kontsevaya, O. M. Drapkina

“…To study the associations of psychological stress (PS) with the risk of fatal and non-fatal events depending on anamnestic features in the Russian population.Material and methods. …”
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